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24H VOL:
$130,522,377
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2,388,728,490
OPEN INTEREST:
$1,438,389,636
404,028
Markets across
30,214
events
MATCHED EVENTS:
2,681
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Modena: Victoria Jimenez Kasintseva vs Katarzyna Kawa Match O/U 23.5
- Polymarket
Modena: Victoria Jimenez Kasintseva vs Katarzyna Kawa Match O/U 23.5 - Polymarket
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Vol.
·
Resolved Jun 13, 2026
Closed: Jun 20, 5:00 AM EST
Polymarket
This market refers to the tennis match between Victoria Jimenez Kasintseva and Katarzyna Kawa in the Modena, originally scheduled for June 13, 2026 at 5:00AM ET. This market will resolve to 'Victoria Jimenez Kasintseva' if Victoria Jimenez Kasintseva advances against Katarzyna Kawa. This market will resolve to 'Katarzyna Kawa' if Katarzyna Kawa advances against Victoria Jimenez Kasintseva. If the match is canceled (not played at all), ends in a tie, or is delayed beyond 7 days from the scheduled date without a winner determined, this market will resolve to 50-50. If the match begins but is not completed, and one player advances due to the opponent's retirement, default, or disqualification, this market will resolve to the player who advances. If the match ends in a walkover (player withdraws before the start and the other advances automatically), this market will resolve to 50-50. The primary resolution source will be official information from the WTA Tour. A consensus of credible reporting may also be used.
This market refers to the tennis match between Victoria Jimenez Kasintseva and Katarzyna Kawa in the Modena, originally scheduled for June 13, 2026 at 5:00AM ET. This market will resolve to 'Victoria Jimenez Kasintseva' if Victoria Jimenez Kasintseva advances against Katarzyna Kawa. This market will resolve to 'Katarzyna Kawa' if Katarzyna Kawa advances against Victoria Jimenez Kasintseva. If the match is canceled (not played at all), ends in a tie, or is delayed beyond 7 days from the scheduled date without a winner determined, this market will resolve to 50-50. If the match begins but is not completed, and one player advances due to the opponent's retirement, default, or disqualification, this market will resolve to the player who advances. If the match ends in a walkover (player withdraws before the start and the other advances automatically), this market will resolve to 50-50. The primary resolution source will be official information from the WTA Tour. A consensus of credible reporting may also be used.
Prediction markets and traditional sportsbooks price events differently because they operate under distinct incentive structures. Sportsbooks set odds to balance their book and lock in profit margins, while prediction markets rely on real-time supply and demand from thousands of independent traders. This market aggregates the collective judgment of those traders, often reflecting information faster than sportsbooks adjust their lines. Comparing the two can reveal where smart money is positioning itself and highlight potential value discrepancies before sportsbooks catch up.
On Polymarket, traders set the odds by buying and selling outcome shares in an automated market maker system. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each share represents a claim on one player's victory, and the price you see reflects the ratio of capital backing each outcome. When more traders buy Jimenez Kasintseva shares, her price rises and Kawa's falls, and vice versa. This continuous repricing mechanism ensures the market stays responsive to new information and trading flow right up until the match concludes.
This market resolves around Jun 20, 2026, once the match is complete and the winner is verifiable from credible public sources. The outcome is determined by the official result of the tennis match between the two players. Until that point, traders can continue to buy and sell shares as odds fluctuate based on pre-match analysis, player form, and any breaking news. Resolution is automatic once the event concludes and the result is confirmed.
Several factors could shift odds significantly before the match begins. Injury announcements or withdrawal news involving either player would trigger sharp repricing. Recent tournament results, head-to-head records, and surface-specific performance data often spark trading activity as new information surfaces. Court conditions, weather forecasts, and betting-market sentiment from other venues can also influence trader positioning. Media coverage highlighting form or controversy may sway casual bettors, while professional traders react to odds discrepancies and historical patterns in similar matchups.